Evaluation of Critical Infrastructures: Challenges and Viable Approaches
Architecting Dependable Systems V
Creating portable agents for coupling power transmission models
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Optimization Strategies for the Vulnerability Analysis of the Electric Power Grid
SIAM Journal on Optimization
Blackouts in electric power transmission systems
AEE'06 Proceedings of the 5th WSEAS international conference on Applications of electrical engineering
Using mixed-integer programming to solve power grid blackout problems
Discrete Optimization
Model-based assessment of multi-region electric power systems showing heterogeneous characteristics
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
Stochastic assessment of power systems in presence of heterogeneity
International Journal of Critical Computer-Based Systems
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We define a model for the evolution of a long series of electric power transmission system blackouts. The model describes opposing forces, which have been conjectured to cause self-organized criticality in power system blackouts. There is a slow time scale representing the opposing forces of load growth and growth in system capacity and a fast time scale representing cascading line overloads and outages. The time scales are coupled: load growth leads to outages and outages lead to increased system capacity. The opposing forces result in a dynamic equilibrium in which blackouts of all sizes occur. The model is a means to study the complex dynamics of this dynamic equilibrium. The Markov property of the model is briefly discussed. The model dynamic equilibrium is illustrated using initial results from the 73-bus IEEE reliability test system.